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You are here		www.philschmid.de Extended Guide: Instruction-tune Llama 2
\|	\|	blog.paperspace.com Finetune Multimodel LLM:IDEFICS 9B using A100	4.3 parsecs away Travel
\|	\|	In this article, we will learn how to make predictions using the 4-bit quantized ?? Idefics-9B model and fine-tune it on a specific dataset.	4.3 parsecs away Travel
\|	\|	codingrelic.geekhold.com Coding Relic: Training Gemma3-270m for German Q-and-A	6.3 parsecs away Travel
\|	\|	Google recently introduced Gemma3-270M, a smaller Gemma3 model with "only" 270 million parameters instead of billions. The most interesti...	6.3 parsecs away Travel
\|	\|	blog.ml.cmu.edu RLHF 101: A Technical Tutorial on Reinforcement Learning from Human Feedback - Machine Learning Blog \| ML@CMU \| Carnegie Mellon University	8.0 parsecs away Travel
\|	\|	The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University.	8.0 parsecs away Travel
\|	\|	neptune.ai Fine-Tuning Llama 3 with LoRA: Step-by-Step Guide	14.4 parsecs away Travel
\|		You can apply the key ideas of this "Google Collab-friendly" approach to many other base models and tasks.	14.4 parsecs away Travel